1 Table One

Characteristic

MD
N = 8081

RN
N = 8221

Age

47 (40, 55)

43 (35, 51)

Unknown

42

64

Years Since Training

16 (8, 24)

13 (8, 22)

Unknown

53

79

Gender

Female

210 (27%)

593 (78%)

Male

547 (71%)

152 (20%)

Nonbinary

1 (0.1%)

3 (0.4%)

Gender not listed/prefer to self describe (Please specify):

1 (0.1%)

1 (0.1%)

Prefer not to answer

12 (1.6%)

9 (1.2%)

Unknown

37

64

Race

White

581 (77%)

640 (85%)

Black or African American

20 (2.7%)

28 (3.7%)

Asian

80 (11%)

28 (3.7%)

American Indian or Alaska Native

0 (0%)

5 (0.7%)

Native Hawaiian or Other Pacific Islander

1 (0.1%)

1 (0.1%)

Multiple races

17 (2.3%)

15 (2.0%)

Prefer not to answer

53 (7.0%)

32 (4.3%)

Unknown

56

73

Hispanic

No, not Hispanic or Latino

721 (94%)

705 (93%)

Yes, Hispanic or Latino

49 (6.4%)

52 (6.9%)

Unknown

38

65

RUCA Regions

Urban

743 (93%)

679 (83%)

Suburban

43 (5.4%)

75 (9.1%)

Rural

17 (2.1%)

66 (8.0%)

Unknown

5

2

Magnet Status

Yes

279 (36%)

276 (36%)

No

109 (14%)

413 (55%)

I don't know

381 (50%)

68 (9.0%)

Unknown

39

65

1Median (Q1, Q3); n (%)

2 Distributions of Information Source Use and Quality

2.1 Overall

2.2 By Provider Type

3 Distributions of Organizational Attitudes

3.1 Overall

3.2 By Provider Type

4 Principal Component Analysis

4.1 Variable Loadings

4.2 Scree Plot

4.3 Heatmap

Principal Component Analysis of Clinician Information Sources During the Early COVID-19 Pandemic

We relied on four dimensions, corresponding to: (1) professional networks (e.g., ED leadership, hospital leadership), (2) news and social media (e.g., Facebook, Twitter/X), (3) academic publications (e.g., peer-reviewed journals, society communications), and (4) blogs and podcasts. Only factor loadings greater than 0.5 are noted, representing strong associations between information sources and their respective components.

5 Adoption Patterns

5.1 Adoption of COVID-19 Innovations by Provider Type and Decision-Making Discretion

Number and percentage of clinicians who adopted each innovation, shown overall and by provider type (nurses vs. physicians). Results are presented for all clinicians and for the subset with decision-making discretion for each innovation.

Innovation Adoption by Provider Type
Number and percentage of adopters
Innovation Sample
Clinician Type
Total
Physicians Nurses
PPE reuse All clinicians 729 (93.1%) 731 (93.4%) 1460 (93.2%)
PPE reuse Flexible for this innovation 305 (89.2%) 153 (85.5%) 458 (87.9%)
High-flow oxygen All clinicians 690 (88.2%) 555 (71.2%) 1245 (79.7%)
High-flow oxygen Flexible for this innovation 658 (90.8%) 431 (81.6%) 1089 (86.9%)
Ivermectin All clinicians 37 (4.7%) 67 (8.6%) 104 (6.7%)
Ivermectin Flexible for this innovation 30 (5.0%) 29 (15.9%) 59 (7.5%)

5.2 Clinician Ratings of Information Access and Reliability

Clinician ratings of information use and perceived reliability across source categories during early COVID-19 (Mar–Jun 2020). Bars show means by clinician type (MD vs. RN) with 95% CIs; percentages indicate the share who used at least one source per category. Asterisks denote significant differences between physicians (MDs) and nurses (RNs) after Holm correction for multiple comparisons (*** p < 0.001, ** p < 0.01, * p < 0.05).

5.3 Overlap in Innovation Implementation

Venn diagram showing the number and percentage of clinicians with discretion in decision-making who reported implementing PPE reuse, high-flow oxygen (HFO), and ivermectin (IV) during the early COVID-19 pandemic. Overlapping regions indicate clinicians who implemented more than one innovation. Counts and percentages are displayed within each region. Bold labels identify the three innovation categories.

6 Logistic Results

6.1 PPE Reuse

Adjusted Odds Ratios (all)
Predictor OR 95% CI (Lower) 95% CI (Upper) P-value OR (Label)
Professional Networks 0.956 0.530 1.709 0.880 0.96
News and Social Media 2.001 1.235 3.394 0.007 2.00**
Academic Publications 1.516 0.833 2.807 0.178 1.52
Blogs and Podcasts 0.571 0.330 0.976 0.042 0.57*
Age 0.981 0.953 1.010 0.193 0.98
Female (vs. Male) 1.388 0.645 3.092 0.411 1.39
Other or Unknown Gender (vs. Male) 0.444 0.044 10.250 0.523 0.44
Suburban (vs. Urban) 0.387 0.152 1.095 0.057 0.39+
Exurban/Rural (vs. Urban) 1.233 0.519 3.303 0.654 1.23
Perceived Flexibility 0.068 0.023 0.194 0.000 0.07***
Physician (vs. Nurse) 1.732 0.685 4.301 0.238 1.73
Physician x Flexibility 4.376 1.208 16.429 0.026 4.38*

6.2 High Flow Oxygen

Adjusted Odds Ratios (all)
Predictor OR 95% CI (Lower) 95% CI (Upper) P-value OR (Label)
Professional Networks 0.865 0.628 1.188 0.373 0.87
News and Social Media 1.112 0.860 1.452 0.425 1.11
Academic Publications 1.360 0.962 1.930 0.083 1.36+
Blogs and Podcasts 1.192 0.876 1.625 0.264 1.19
Age 0.997 0.981 1.014 0.753 1.00
Female (vs. Male) 1.001 0.661 1.513 0.997 1.00
Other or Unknown Gender (vs. Male) 1.146 0.364 5.097 0.835 1.15
Suburban (vs. Urban) 1.319 0.726 2.577 0.388 1.32
Exurban/Rural (vs. Urban) 1.090 0.667 1.851 0.740 1.09
Perceived Flexibility 1.222 0.741 2.065 0.443 1.22
Physician (vs. Nurse) 1.585 0.965 2.631 0.071 1.58+
Physician x Flexibility 1.582 0.763 3.252 0.214 1.58

6.3 Ivermectin

Adjusted Odds Ratios (all)
Predictor OR 95% CI (Lower) 95% CI (Upper) P-value OR (Label)
Professional Networks 0.551 0.316 0.959 0.035 0.55*
News and Social Media 1.501 1.028 2.170 0.032 1.50*
Academic Publications 1.623 0.896 2.975 0.113 1.62
Blogs and Podcasts 0.893 0.533 1.491 0.666 0.89
Age 1.018 0.990 1.047 0.208 1.02
Female (vs. Male) 1.384 0.688 2.778 0.360 1.38
Other or Unknown Gender (vs. Male) 1.575 0.080 9.852 0.684 1.57
Suburban (vs. Urban) 1.563 0.594 3.628 0.327 1.56
Exurban/Rural (vs. Urban) 1.319 0.582 2.786 0.485 1.32
Perceived Flexibility 0.339 0.129 0.816 0.020 0.34*
Physician (vs. Nurse) 0.307 0.124 0.738 0.009 0.31**
Physician x Flexibility 1.391 0.426 4.767 0.590 1.39

7 Predictors of Innovation Adoption among Clinicians

Forest plot showing adjusted odds ratios (aORs) and 95% confidence intervals for predictors of clinicians’ decisions to suggest or implement three COVID-19–related practices: PPE reuse, high-flow oxygen, and ivermectin. “Perceived Flexibility” reflects increased flexibility among nurses. “Physician (vs. Nurse) reflects the impact of being a physician rather than nurse among clinicians with some flexibility. “Physician × Flexibility” indicates whether the association between perceived flexibility and adoption differed for physicians compared with nurses. For PPE reuse, an aOR of 4.38 (>1) shows that while greater flexibility reduced reuse for both groups, the drop was steeper for nurses than for physicians. Significance: *** p < 0.001, ** p < 0.01, * p < 0.05, † p < 0.10.

8 Clinician-Reported Justifications for Implementing COVID-19 Innovations

Bar chart illustrating the percentage of clinicians with decision-making flexibility who cited each factor as influencing their decision to implement the innovation, grouped by adopters versus non-adopters. Significant differences indicate that adopters were more likely to cite the justification than non-adopters, with the exception that “Evidence from medical literature” was more commonly cited by those who did not suggest or prescribe ivermectin (76%) compared with those who did (59%) Asterisks indicate statistically significant differences between groups after multiple comparison correction (*** p < 0.001, ** p < 0.01, * p < 0.05).